Journal
ENERGIES
Volume 14, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/en14010168
Keywords
control approaches; energy management; optimization method; objective function; control constraints
Categories
Funding
- USAID under the PEER program [5-398]
- HOLSYS project - IRESEN (iresen-inno-projet-2020-2022)
Ask authors/readers for more resources
The increasing demand for electricity due to industrial development, transportation electrification, household needs, and digital devices has led to the need for solutions, including the development of hybrid renewable energy systems for micro-grid buildings. These systems enable simple consumers to become electricity producers, helping reduce energy consumption from utility grids.
The demand for electricity is increased due to the development of the industry, the electrification of transport, the rise of household demand, and the increase in demand for digitally connected devices and air conditioning systems. For that, solutions and actions should be developed for greater consumers of electricity. For instance, MG (Micro-grid) buildings are one of the main consumers of electricity, and if they are correctly constructed, controlled, and operated, a significant energy saving can be attained. As a solution, hybrid RES (renewable energy source) systems are proposed, offering the possibility for simple consumers to be producers of electricity. This hybrid system contains different renewable generators connected to energy storage systems, making it possible to locally produce a part of energy in order to minimize the consumption from the utility grid. This work gives a concise state-of-the-art overview of the main control approaches for energy management in MG systems. Principally, this study is carried out in order to define the suitable control approach for MGs for energy management in buildings. A classification of approaches is also given in order to shed more light on the need for predictive control for energy management in MGs.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available